jgraving

MMEarth-data

This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"

posteriors

Uncertainty quantification with PyTorch

jupyter-ai

A generative AI extension for JupyterLab

tensordict

TensorDict is a pytorch dedicated tensor container.

MedMNIST

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

bayeux

State of the art inference for your bayesian models.

dataclass-wizard

A simple, yet elegant, set of wizarding tools for interacting with Python dataclasses.

mlx

MLX: An array framework for Apple silicon

spherical-harmonics

Visualising Laplacian Spherical Harmonics with Matplotlib's Animation Feature

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

ChatGPT-AutoExpert

🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).

streaming

A Data Streaming Library for Efficient Neural Network Training

lfads-torch

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

jupyter-scatter

Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!

swyft

A system for scientific simulation-based inference at scale.

dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

synjax

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

cmcrameri

Making Fabio Crameri's perceptually uniform colourmaps for geosciences available on PyPI and conda-forge

sleap-io

Standalone utilities for SLEAP pose tracking data.

keras-core

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

aiomultiprocess

Take a modern Python codebase to the next level of performance.

oryx

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

BAP

Bayesian Analysis with Python (Second Edition)

CausalPy

A Python package for causal inference in quasi-experimental settings

multires-conv

Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

torchmd-net

Neural network potentials

Laplace

Laplace approximations for Deep Learning.

pylustrator

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

patchworklib

Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.